https://github.com/alexeyev/sinkhornlayer-keras
Permutation learning Sinkhorn layer implementation in keras
Science Score: 23.0%
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Low similarity (4.5%) to scientific vocabulary
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Repository
Permutation learning Sinkhorn layer implementation in keras
Basic Info
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Metadata Files
README.md
SinkhornLayer-keras
Sinkhorn layer in keras, inspired by the reference implementation of numbers sorting task solution (please see the 'Learning Latent Permutations with Gumbel-Sinkhorn Networks' paper by Gonzalo Mena, David Belanger, Scott Linderman, Jasper Snoek).
Requirements: * Python3 * keras, scipy, numpy
Bug reports, comments and enhancements are welcome.
Citation
Not neccessary, but is greatly appreciated.
```bibtex
@misc{Alekseev2018sinkhornkeras, author = {Alekseev~A.M.}, title = {Sinkhorn layer, Keras implementation.}, year = {2018}, publisher = {GitHub}, journal = {GitHub repository}, howpublished = {\url{https://github.com/alexeyev/SinkhornLayer-keras}}, commit = {the latest commit of the codebase you have used} }
```
Owner
- Name: Anton Alekseev
- Login: alexeyev
- Kind: user
- Website: https://ai.pdmi.ras.ru/
- Repositories: 52
- Profile: https://github.com/alexeyev
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Dependencies
- keras >=2.2.0
- numpy >=1.14.3
- scipy >=1.0.1